Sentiment analysis of Facebook data using Hadoop based open source technologies ; Article #: ; Date of Conference: 19-21 October 2015 ; Date Added to IEEE Xplore: ...

The use of open source technologies for brand sentiment analysis from Facebook data is illustrated and a whole new opportunity for advanced analytics is ...

Request PDF | On Oct 1, 2015, Sudipto Shankar Dasgupta and others published Sentiment analysis of Facebook data using Hadoop based open source technologies ...

Sentiment analysis of Facebook data using Hadoop based open source technologies. Sudipto Shankar Dasgupta. ,. S. Natarajan. ,. Kiran Kumar Kaipa. et al ...

Jun 30, 2023 · We intend to carry out analysis on a preferably large dataset using Hadoop, Map reduce and Hive. And classify the sentiments of comments present in data using ...

In this paper, we firstly introduce the definition of sentiment analysis as well as Hadoop and describe the Hadoop architecture, then focus on the analysis of ...

With its simplified concept reflecting a vast amount of complex data that exceeds the capacity of traditional software and computer mechanisms to hold, ...

Oct 22, 2024 · Sentiment analysis of Facebook data using Hadoop based open source technologies. Conference Paper. Oct 2015. Sudipto ...

Sentiment analysis greatly helps us in knowing the customer behavior. The biggest challenge is to process the social data which are in unstructured or semi- ...

This paper analyzes for public text post on Facebook stream in real time through environment Hadoop ecosystem by using apache spark with NLTK python and ...